Edchart Certified Haskell Machine Learning Subject Matter Expert

Issued by EDCHART INC

The Haskell Machine Learning Certification is a globally recognized credential designed to validate expertise in algorithms, data analysis, and AI development using Haskell. Leveraging Haskell’s strong functional paradigms, participants are evaluated on their mastery of machine learning concepts, practical implementation with Haskell libraries, and ability to solve real-world ML challenges through online exams.

Type Certification
Level Advanced
Time Hours
Cost Paid

Additional Details

Skills

Algorithms
Applied Machine Learning
Basic Mathematics
Data Elements
Data Processing
Data Structures
Functional Programming
General Mathematics
Haskell
Information Processing
Machine Learning (ML)
Mathematical Sciences
Programming Concepts
TensorFlow
Typing

Earning Criteria

To earn the Haskell Machine Learning Certification, candidates must successfully complete a comprehensive online examination comprising theoretical and practical problems in Haskell-based machine learning. The assessment covers core algorithms, data processing, advanced type systems, and the application of Haskell libraries such as TensorFlow bindings and Grenade. Holders must achieve a predetermined benchmark score to demonstrate sufficient competency in both Haskell programming and machine.
The Haskell Machine Learning Certification is open to professionals and advanced students worldwide who seek to certify their skills in machine learning using Haskell. Candidates should have a strong foundation in programming and prior experience with functional languages. There are no strict geographic or sector-based restrictions, enabling broad international participation in our online proctored certification.
Participants are expected to possess at least an undergraduate-level understanding of computer science, including programming concepts, data structures, and basic knowledge in mathematics relevant to machine learning such as linear algebra and probability. Prior experience in Haskell programming and familiarity with key machine learning libraries is highly recommended for a successful examination outcome.

Standards

Haskell Machine Learning Certification

Certification standards are set in collaboration with global Haskell and industry experts, ensuring the exam measures proficiency in both theoretical foundations and practical machine learning with Haskell. The certification requires demonstration of best practices in code reliability, advanced type safety, and the practical application of ML.